Regional forecast for zones of oil inflow from Bazhen-Abalak formation in KhMAO-Yugra region of Russia by machine learning method

UDK: 681.518:622.276
Key words: Bazhen-Abalak formation, machine learning, genetic algorithm, decision tree, rules retrieval, regional forecast for zones of oil inflow
Authors: D.A. Ivlev (Zarubezhneft JSC, RF, Moscow)

An approach to the regional forecast for zones of oil inflow from Bazhen-Abalak formation has been formalized and tested. The task was to classify the spatial attributes by machine learning through precedents by algorithm of single decision tree with the genetic selection of combination of such attributes. The rules have been retrieved and the factors have been identified which influence the forecast for zones of oil inflow from Bazhen-Abalak formation intervals. The results are shown in the regional forecast scheme with identification of Bazhen-Abalak formation sweet spots in KhMAO-Yugra region of Russia. Such sweet spots can be correlated with perspective zones to get the inflow from the Bazhen-Abalak formation.

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